neurocore 1.1.0

Neurocore: Full-featured high-level neural network engine in Rust, including dense/LSTM layers, activations, optimizers, training, serialization, and real-time prediction.
Documentation
neurocore-1.1.0 has been yanked.

* Neurocore: Full-featured neural network engine in Rust, including dense layers, activation functions, forward/backward propagation, training, and serialization. — created by Seleste Waithaka.*

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Neurocore

2b0ce3a (updated engine)

Crates.io Docs.rs

Neurocore is a high-level, fully-featured neural network engine written in Rust.
It is designed for both research and enterprise use, capable of handling large datasets, real-time predictions, and high-level training.

Features

  • Fully implemented NeuralNetwork engine
  • Dense layers with configurable activation functions
  • Real-time batch predictions
  • High-level training engine supporting backpropagation and gradient descent
  • Model saving and loading (persist and reuse trained networks)
  • Optimized for CPU usage
  • Handles large datasets efficiently
  • Designed for corporate-scale AI applications
  • Extensible: add custom layers or activation functions easily

Installation

Add neurocore to your Cargo.toml:

[dependencies]
<<<<<<< HEAD
neurocore = "0.1.4"

======= neurocore = "0.1.5"

2b0ce3a (updated engine)

##Creator Seleste Waithaka